For contributions to artificial intelligence and human-computer interaction spanning the computing and decision sciences through developing principles and models of sensing, reflection, and rational action.
Eric Horvitz is the recipient of the 2015 Newell Award for groundbreaking contributions in artificial intelligence and human-computer interaction, encompassing both theoretical innovations and important practical applications. He is best known for his pioneering research in developing principles and models of computational intelligence and action, including computational models of bounded rationality under constraints of architecture and resources that provide insights about machine intelligence and human cognition. In related work on human-computer collaboration, he developed methods that seamlessly blend human and machine intelligence in problem solving, using models of human goals, competencies, and cognition. These principles and methods have guided the development and deployment of valuable applications, including efforts in time-critical decision making, problem solving, and intelligent information management, and with contributions in the realms of healthcare, transportation, robotics, information retrieval, and dialog systems. Horvitz is a technical fellow and director of the Microsoft Research Lab at Redmond, and a past president of AAAI. He was inducted into the CHI Academy, and is a winner of the 2015 Feigenbaum Prize. He is a Fellow of AAAI, ACM, AAAS, and the National Academy of Engineering.Scroll Up
For contributions to artificial intelligence, and human-computer interaction.Scroll Up
Eric Horvitz, recipient of the ACM - AAAI Allen Newell Award for contributions to artificial intelligence and human-computer interaction spanning the computing and decision sciences through developing principles and models of sensing, reflection, and rational action. His contributions have advanced the understanding of how computing systems can reflect about their own reasoning and about the goals and cognition of people. He showed how these methods can enable people and machines to work closely together as coordinated teams to solve problems, taking advantage of the complementarities of human and machine intelligence. Horvitz has played a leadership role in the development and fielding of practical applications including intelligent cloud services that make predictions about road traffic patterns and provide ideal route directions; computational models that assist physicians with decisions about such outcomes as readmissions and infections; methods that allocate resources within operating systems; and techniques for prioritizing, filtering, and interpreting email. Horvitz is a technical fellow at Microsoft Research and a past president of the Association for the Advancement of Artificial Intelligence (AAAI). He is a fellow of ACM, AAAI, and the National Academy of Engineering (NAE).